So many levels of wrong. That’s a gen 2, maybe 3 Prius. Both of which have instant electric torque and scroll style AC compressors which run with the engine off. Excellent cars which are still good value today.

🥵🥵🥵🥵

Little man looks legit like animal crossing with rtx on

Random aside: I was browsing bullet proof vest, as one does in 2026, and it astounds me that they don’t seem to make plate carriers that are more flattering on heavy guys. Like, come on, add 12 exra inches of fabric to tuck into your pants or something.

Oh, and fuck ice

That deer is ripped

All the images on this article are ai generated by whisk and the entire premise sounds like it’s made up

From that I can find online the steam PC will be less powerful than the desktop 4060 and probably be comparable in price to this PC. I do intend on installing Linux on this computer.

Yes; however, I’m getting the personal vibe that gaming hardware progress is massively plateauing. Still, I may hold off. Tbh, I’ve kind of been waffling on buying a new PC since 2017. My 1070 is juuuust old enough now that I’m starting to see some games I straight up can’t run at 30 fps.

This whole manufacturing crisis in the USA (that’s where I live) coupled with depressed wages and aaa games not interesting me… It’s all kind of discouraging. I’m tempted to just buy something good enough and sit for another 10 years. Perhaps I’m just being reactionary to the increasing prices and looking for a ‘deal.’

I said 2016 instead of 2026 😬😬😬😬😬

It’s a bit of a toss up. If I go with ddr4, I can probably build something with a similar cost, maybe just a tiny bit more. I guess it might be silly to buy now. I’m kind of anxious about the price of PC parts.

Lol 🤣 I see the typo now. I’m ancient and old, you see!

Umm, but how?

What is the source of this?

This is ai generated. Is that the joke?

Yeah, I don’t know how I feel about celebraing an indie dev deleting their game while the biggest games such as arc raiders succeed despite overt ai use that actually displaces voice actors at the company.

But you can trust the first model to produce the code you want it to. Or, at least get a baseline of whether it works as expected. To roll back to the simple example of secure (sanitized) user input via a form, the human sets up the testing environment. All the human needs to do is write a script that reads the entered database entry, and hashes the rest of the database / application in memory.

It should be simple for the first model to use different languages and approaches from strongly typed languages like ada to yolo implementations in Python.

The adversarial model’s job is to modify the state of the application or database outside of that entry. This should be possible with some of the first models implementations, unless they are already perfect.

The idea is with enough permutations of implementations at different temperatures and with different input context, an almost infinite number of blue team and red team examples can be iterated on and produced on this one specific problem.

This approach is already being generalized to produce more high-quality software training data for LLMs than exist in the lexicon of human output.

This is very hard to do with art or writing. Art is subject, you can not validate the variable automatically or detect subtle variations without context and opinion so easily.

This is tangental to why Machine Learning works so well for weather data. We can objectively validate the output with historic data, but we can also create synthetic weather data using physically based models. It’s different, but similar in principal.

Clunky wording on my part. I mean results can be tested objectively. In creative fields, there are no objective means of testing outputs. In programming, one model can, for example, build a user input field to match requirements, and another model can test it. The success and failure of those test can be measured objectively (do stored inputs fall within the desired domain, does a hash of the memory (sans known changing variables) change?)

I don’t know. I worked as a software dev for 5 years and have a BS in CS. I’ve transitioned to ecological work. The progress I’ve seen with Claude Code specifically has convinced me that even moderate gains in intelligence will lead to the functional replacement of several data entry and junior programming jobs.

It’s true that people overestimate LLM performance in other domains. But, software is easy to generate synthetic data for, objectively testable by adversarial models, etc.

Last night, I had a dream that fucking Kevin came into the house with a raw chicken like fucking Dionysius, and he just laughed, swinging it around, spraying chicken juice all over everyone and everything. I am so mad.

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